At a Glance
- Tasks: Lead financial crime data analytics projects and turn complex data into actionable insights.
- Company: Join KPMG, a leading firm with a focus on innovation and collaboration.
- Benefits: Enjoy flexible hours, hybrid work, and opportunities for professional growth.
- Other info: Be part of a dynamic team with access to a national network.
- Why this job: Make a real impact in fighting financial crime while developing your analytical skills.
- Qualifications: Experience in risk management, coding languages, and strong team leadership.
The predicted salary is between 72000 - 88000 £ per year.
KPMG is seeking a Forensic Manager Data Analytics in London to lead financial crime data analytics engagements, focusing on data modelling and client-led outcomes.
You will manage delivery, budgets, and teams while translating complex data into actionable insights for senior stakeholders.
Experience in risk management, regulatory expectations, and multiple coding languages is essential.
The role offers hybrid UK-based work with opportunities across the national network.
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Forensic Data Analytics Manager — Flexible Hours in London employer: KPMG LLP
KPMG is an exceptional employer, offering a dynamic work culture that prioritises professional growth and development within the Cyber Response Services team. Located in London, employees benefit from access to nationally significant incidents and the opportunity to work with high-profile public sector clients, all while receiving investment in certifications and training to enhance their skills in a rapidly evolving field. Join us to make a meaningful impact in cyber resilience and enjoy a collaborative environment that values proactive problem-solving and innovation.
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We think this is how you could land Forensic Data Analytics Manager — Flexible Hours in London
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We think you need these skills to ace Forensic Data Analytics Manager — Flexible Hours in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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